DeepSeek R1 vs Together AI - Llama 3 8B Lite
DeepSeek R1 (2025) and Together AI - Llama 3 8B Lite (2025) are frontier reasoning models from DeepSeek and AI at Meta. DeepSeek R1 ships a 128k-token context window, while Together AI - Llama 3 8B Lite ships a 8k-token context window. On pricing, both list $0.10/1M input tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek R1 fits 16x more tokens; pick it for long-context work and Together AI - Llama 3 8B Lite for tighter calls.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 | Together AI - Llama 3 8B Lite |
|---|---|---|
| Best for | reasoning-heavy apps and provider-routed production | tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Agents, Classification, and JSON / Tool use |
| Context window | 128k | 8k |
| Cheapest output | $0.30/1M tokens | $0.10/1M tokens |
| Provider routes | 14 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- DeepSeek R1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- DeepSeek R1 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek R1 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 for Coding, RAG, and Agents.
- Together AI - Llama 3 8B Lite has the lower cheapest tracked output price at $0.10/1M tokens.
- Together AI - Llama 3 8B Lite uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Together AI - Llama 3 8B Lite for Agents, Classification, and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
DeepSeek R1
$155
Cheapest tracked route/tier: Bitdeer AI
Together AI - Llama 3 8B Lite
$105
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $50.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI - Llama 3 8B Lite is $0.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Together AI - Llama 3 8B Lite adds Function calling and Tool use in local capability data.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- DeepSeek R1 is $0.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- DeepSeek R1 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-20 | 2025-07-15 |
| Context window | 128k | 8k |
| Parameters | 671B, 37B Active | 8B |
| Architecture | decoder only | decoder only |
| License | MIT(OSI) | Llama 3 Community |
| Openness | Open source | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2023-12 | 2024-03 |
Pricing and availability
| Pricing attribute | DeepSeek R1 | Together AI - Llama 3 8B Lite |
|---|---|---|
| Input price | $0.10/1M tokens | $0.10/1M tokens |
| Output price | $0.30/1M tokens | $0.10/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 | Together AI - Llama 3 8B Lite |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: DeepSeek R1, function calling: Together AI - Llama 3 8B Lite, tool use: Together AI - Llama 3 8B Lite, and code execution: DeepSeek R1. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek R1 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Together AI - Llama 3 8B Lite lists $0.10/1M input and $0.10/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Llama 3 8B Lite lower by about $0.06 per million blended tokens. Availability is 14 providers versus 1, so concentration risk also matters.
Choose DeepSeek R1 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Together AI - Llama 3 8B Lite when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, DeepSeek R1 or Together AI - Llama 3 8B Lite?
DeepSeek R1 supports 128k tokens, while Together AI - Llama 3 8B Lite supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek R1 or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite is cheaper on tracked token pricing. DeepSeek R1 costs $0.10/1M input and $0.30/1M output tokens. Together AI - Llama 3 8B Lite costs $0.10/1M input and $0.10/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 or Together AI - Llama 3 8B Lite open source?
DeepSeek R1 is listed under MIT. Together AI - Llama 3 8B Lite is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for reasoning mode, DeepSeek R1 or Together AI - Llama 3 8B Lite?
DeepSeek R1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek R1 or Together AI - Llama 3 8B Lite?
Together AI - Llama 3 8B Lite has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek R1 and Together AI - Llama 3 8B Lite?
DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. Together AI - Llama 3 8B Lite is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.